Hasan Murad et al.[1]} contributed a vast novel dataset of 8000 images of Bangladeshi banknotes. For the classification of banknotes, they used MobileNet[2]} deep learning architecture. They claimed to achieve an overall accuracy of 99.80% in the testing phase. However, their model recognized any background other than a white one as a valid note as their dataset did not cover all background variations.
